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2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids)最新文献

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Response Obligation Estimation That Considers Users' Repetitive Utterances using Knowledge-Guided Random Forest 基于知识引导随机森林的考虑用户重复话语的响应义务估计
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9035079
Kotaro Funakoshi, Ryota Yamagami, S. Sugano, Mikio Nakano
Response obligation is whether a spoken dialogue system should react to an input sound. This paper focuses on the false negative errors in response obligation estimation (ROE) that are displayed as the system's neglect of its users. When the users repeat after the system ignores their speech, ROE will likely fail again because the repeated input is similar to the previous input. Therefore, we propose an improved ROE method that considers users' repetitions. First, we show that a simple concatenation of ROE and repetition features is better than two other integration architectures. Then, we propose a modified random forest algorithm that incorporates human domain knowledge. The effectiveness is demonstrated with simulated repetitions as a 7.6-point gain from the baseline.
响应义务是指语音对话系统是否应该对输入声音做出反应。本文主要研究响应义务估计(ROE)中的假负误差,这种误差表现为系统对用户的忽视。当用户在系统忽略其语音后重复时,由于重复的输入与之前的输入相似,ROE很可能会再次失败。因此,我们提出了一种考虑用户重复次数的改进ROE方法。首先,我们证明了ROE和重复特征的简单连接优于其他两种集成架构。在此基础上,提出了一种结合人类领域知识的改进随机森林算法。通过模拟重复,从基线增加7.6分,证明了其有效性。
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引用次数: 0
Detection, Tracking and 3D Modeling of Objects with Sparse RGB-D SLAM and Interactive Perception 基于稀疏RGB-D SLAM和交互感知的物体检测、跟踪和三维建模
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9035001
Diogo Almeida, E. Cansizoglu, Radu Corcodel
We present an interactive perception system that enables an autonomous agent to deliberately interact with its environment and produce 3D object models. Our system verifies object hypotheses through interaction and simultaneously maintains 3D SLAM maps for each rigidly moving object hypothesis in the scene. We rely on depth-based segmentation and a multigroup registration scheme to classify features into various object maps. Our main contribution lies in the employment of a novel segment classification scheme that allows the system to handle incorrect object hypotheses, common in cluttered environments due to touching objects or occlusion. We start with a single map and initiate further object maps based on the outcome of depth segment classification. For each existing map, we select a segment to interact with and execute a manipulation primitive with the goal of disturbing it. If the resulting set of depth segments has at least one segment that did not follow the dominant motion pattern of its respective map, we split the map, thus yielding updated object hypotheses. We show qualitative results with a Fetch manipulator and objects of various shapes, which showcase the viability of the method for identifying and modelling multiple objects through repeated interactions.
我们提出了一种交互式感知系统,使自主代理能够有意识地与其环境交互并产生3D对象模型。我们的系统通过交互验证物体假设,同时维护场景中每个刚性运动物体假设的3D SLAM地图。我们依靠基于深度的分割和多组配准方案来将特征分类到各种对象映射中。我们的主要贡献在于采用了一种新的分段分类方案,该方案允许系统处理错误的对象假设,这在由于接触物体或遮挡而导致的混乱环境中很常见。我们从单个地图开始,并基于深度段分类的结果启动进一步的对象地图。对于每个现有的映射,我们选择一个片段进行交互,并执行一个操作原语,目的是干扰它。如果最终的深度片段集至少有一个片段没有遵循其各自地图的主要运动模式,我们将分割地图,从而产生更新的对象假设。我们用Fetch操纵器和各种形状的对象展示了定性结果,这表明了通过重复交互识别和建模多个对象的方法的可行性。
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引用次数: 4
Reflex-Based Motion Strategy of Musculoskeletal Humanoids under Environmental Contact Using Muscle Relaxation Control 基于肌肉松弛控制的环境接触下肌肉骨骼类人的反射运动策略
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9034994
Kento Kawaharazuka, Kei Tsuzuki, Moritaka Onitsuka, Yuya Koga, Yusuke Omura, Yuki Asano, K. Okada, Koji Kawasaki, M. Inaba
The musculoskeletal humanoid can move well under environmental contact thanks to its body softness. However, there are few studies that actively make use of the environment to rest its flexible musculoskeletal body. Also, its complex musculoskeletal structure is difficult to modelize and high internal muscle tension sometimes occurs. To solve these problems, we develop a muscle relaxation control which can minimize the muscle tension by actively using the environment and inhibit useless internal muscle tension. We apply this control to some basic movements, the motion of resting the arms on the desk, and handle operation, and verify its effectiveness.
由于身体柔软,这种肌肉骨骼人形机器人可以在环境接触下很好地移动。然而,很少有研究积极利用环境来休息其灵活的肌肉骨骼体。此外,其复杂的肌肉骨骼结构难以建模,有时会出现高内肌张力。为了解决这些问题,我们开发了一种肌肉松弛控制,可以通过积极利用环境来最小化肌肉紧张,抑制无用的内部肌肉紧张。我们将该控制应用于一些基本动作,手臂搁在桌子上的动作和手柄操作,并验证了其有效性。
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引用次数: 5
Cost function evaluation for optimizing design and actuation of an active exoskeleton to ergonomically assist lifting motions 优化设计和驱动主动外骨骼的成本函数评估,以符合人体工程学辅助提升运动
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9035028
M. Harant, M. Millard, N. Šarabon, K. Mombaur
Spinal exoskeletons can reduce the risk of low-back pain by decreasing the back muscle activity and the spinal compression forces of users during heavy lifting tasks. Model-based simulation and optimization are helpful tools to support the design of exoskeletons reducing the number of prototypes iterations and testings. In this paper, we present a comparison of different cost functions based on modeling and optimization techniques to determine proper actuator characteristics for an active spinal exoskeleton supporting stoop-lifts of a 10 kg box. Using motion recordings of five different subjects and additional anthropometric measurements, we created subject-specific musculoskeletal models. A corresponding parameterized model of an exoskeleton with passive and active components was created and combined with the human models. The spring characteristics and the torque profiles of the exoskeleton are optimized for various objectives which consist of a term for tracking the recordings and an additional term from a set of cost functions to reduce the load on the subjects. User comfort is guaranteed by appropriate interaction force limits. The results show that all cost functions reduced significantly the human torque loads. However, they result in different amounts and distributions of the load reduction as well as different contributions from the passive and active components of the exoskeleton. They also yield different actuation patterns of the human model performing the stoop-lift. The analysis of the effects of cost functions in this study highlights the importance of selecting an appropriate cost function for optimization.
脊柱外骨骼可以通过减少背部肌肉活动和使用者在繁重的举重任务时的脊柱压迫力来减少腰痛的风险。基于模型的仿真和优化是支持外骨骼设计的有用工具,减少了原型迭代和测试的次数。在本文中,我们提出了基于建模和优化技术的不同成本函数的比较,以确定支撑10kg箱子的主动脊柱外骨骼的适当驱动器特性。利用五个不同受试者的运动记录和额外的人体测量测量,我们创建了受试者特定的肌肉骨骼模型。建立了相应的外骨骼参数化模型,并与人体模型相结合。外骨骼的弹簧特性和扭矩曲线针对各种目标进行了优化,这些目标包括跟踪记录的项和来自一组成本函数的附加项,以减少受试者的负载。通过适当的交互力限制来保证用户的舒适性。结果表明,所有代价函数都能显著降低人的转矩负荷。然而,它们会导致负载减少的不同数量和分布,以及外骨骼的被动和主动成分的不同贡献。他们也产生了不同的驱动模式的人体模型执行倾斜提升。本研究对成本函数的影响进行了分析,强调了选择合适的成本函数进行优化的重要性。
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引用次数: 3
Combining Cartesian Trajectories with Joint Constraints for Human-Like Robot-Human Handover 结合笛卡尔轨迹和关节约束的仿人机器人-人切换
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9034990
Robin Rasch, S. Wachsmuth, Matthias König
This thesis addresses the problem of modeling and planning anthropomorphic movements for robots during object handovers. The anthropomorphic movement during interactions between humans and robots should enable humans to feel safer and thus more accepting of robots. Using a combined model of Cartesian trajectory and the limitations of joint function using the recorded primitive joint movements of humans, we aimed to model and plan such an anthropomorphic movement. A simulation involving two different robots (the humanoid robot Pepper, and a Franka Panda) was used to evaluate the accuracy of the proposed model against human motion models and test the required planning time. The results showed that the proposed model is a useful trade-off between a model in Cartesian space and a model in joint space.
本文解决了机器人在物体切换过程中拟人化运动的建模和规划问题。人与机器人互动过程中的拟人化运动应该使人类感到更安全,从而更能接受机器人。利用记录的人类原始关节运动,采用笛卡尔轨迹和关节功能限制相结合的模型,对这种拟人化运动进行建模和规划。仿真涉及两个不同的机器人(人形机器人Pepper和Franka Panda),用于评估所提出的模型与人类运动模型的准确性,并测试所需的规划时间。结果表明,该模型是笛卡尔空间模型和关节空间模型之间的一种有效折衷。
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引用次数: 2
RAL Papers Presented at Humanoids2019 在Humanoids2019上发表的RAL论文
Pub Date : 2019-10-01 DOI: 10.1109/humanoids43949.2019.9035041
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引用次数: 0
Introduction to New Adaptive Passive Joint Mechanism with Independent Joint Operation 具有独立关节动作的新型自适应被动关节机构简介
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9035061
Sunhyuk Back, Hyunhwan Jeong
This paper introduced a novel manipulator joint mechanism which has adaptive and independent joint motion properties with the passive joint configuration. Because the proposed manipulation mechanism has just one actuator to operate multiple joint (a passive joint mechanism), lighter manipulator systems can be configured with the proposed system. Adaptive joint property of the proposed mechanism makes reaction motion for the external wrench. Also, although the proposed novel mechanism has passive joints, it can moves each joint independently. We introduce the design concept and mechanism analysis. Then the validity and feasibility are verified with experiments.
介绍了一种具有自适应独立关节运动特性的被动关节机构。由于所提出的操作机构只有一个驱动器来操作多个关节(被动关节机构),因此可以配置更轻的机械手系统。该机构的自适应关节特性使外扳手产生反作用力。此外,虽然该机构具有被动关节,但它可以独立地移动每个关节。介绍了设计思路和机理分析。通过实验验证了该方法的有效性和可行性。
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引用次数: 0
Vertical COM Motion Generation to Reduce Slipping and Mechanical Work during Walking 垂直COM运动生成以减少行走时的滑动和机械功
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9034997
Sumin Park, Jaeheung Park
A robot foot can slip when the horizontal shear force acting on the foot exceeds the frictional force between the foot and the ground. In the linear inverted-pendulum (LIP) model, the vertical height of the center of mass (COM) is kept constant, and the vertical force is always equal to the gravitational force at any walking speed. However, the horizontal force increases upon increasing the walking speed. This restriction on the vertical force in the LIP model can cause the robot foot to slip at fast walking speeds, as the horizontal force can exceed the frictional force, which is proportional to the vertical force. In this study, we present an optimization method to generate vertical COM motion to maintain the utilized coefficient of friction (uCOF) less than the available coefficient of friction between the foot and the ground, and to minimize the mechanical work of the COM. Vertical motions at various speeds are generated using the proposed optimization method. Subsequently, the generated COM motion patterns are used as reference trajectories of the COM in robot simulation. Optimization and simulation results demonstrate that the mechanical work and uCOF decrease because of the vertical motion. This study suggests a way to generate slip-safe and energy-efficient COM patterns, which, in turn, overcome the limitations of the LIP model by adding vertical COM motion.
当作用在机器人脚上的水平剪切力超过脚与地面之间的摩擦力时,机器人脚就会打滑。在线性倒立摆(LIP)模型中,质心(COM)的垂直高度保持恒定,且在任意行走速度下,垂直力始终等于重力。然而,水平力随着行走速度的增加而增加。LIP模型中对垂直力的限制会导致机器人脚在快速行走时打滑,因为水平力会超过摩擦力,而摩擦力与垂直力成正比。在这项研究中,我们提出了一种优化方法来产生垂直的COM运动,以保持利用的摩擦系数(uCOF)小于脚与地面之间的有效摩擦系数,并使COM的机械功最小化。利用所提出的优化方法生成了不同速度下的垂直运动。然后,将生成的COM运动模式作为COM在机器人仿真中的参考轨迹。优化和仿真结果表明,垂直运动降低了机械功和uCOF。本研究提出了一种生成滑移安全且节能的COM模式的方法,该模式通过增加垂直COM运动来克服LIP模型的局限性。
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引用次数: 0
Design and Assessment of a Single-size Semi-soft Assistive Mitten for People with Cervical Spinal Cord Injuries 颈脊髓损伤患者单尺寸半软性辅助连指手套的设计与评估
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9035027
Daisuke Kaneishi, J. Leu, Julia O'Donnell, Campbell Affleck, R. Matthew, Andrew McPherson, M. Tomizuka, Hannah S. Stuart
Assistive orthotics have the potential to augment the grasping capabilities of individuals with limited hand functionality. People with a cervical-level spinal cord injury (SCI) lack direct control of semi-flaccid, curled fingers on both hands, which often precludes independent donning and doffing of orthotics, thus limiting their use in daily life. This paper presents a novel orthotic designed to improve hand functionality while facilitating independent daily use for individuals with cervical SCI: the Single-size Semi-soft Assistive Mitten (SSAM). This device utilizes a slim dorsal leaf spring and underactuated cable drive to passively open and actively close the hand, in a way that is robust to variations in hand size. This mitten is intended to improve ease of donning and doffing, as the device is attached to all fingers at once. A prototype is developed based on simulation studies, and grasping performance of the proposed design is validated with five healthy subjects. Successful grasping trials, along with positive user feedback, suggest that the SSAM has a comfortable and intuitive design for long-term, independent use and will enable future studies into feasibility of daily use for people with SCI.
辅助矫形器具有增强手部功能有限的个体抓握能力的潜力。颈级脊髓损伤(SCI)患者缺乏对双手半松弛、弯曲手指的直接控制,这通常妨碍了独立穿戴和脱下矫形器,从而限制了矫形器在日常生活中的使用。本文介绍了一种新型矫形器,旨在改善手部功能,同时促进颈椎SCI患者的独立日常使用:单尺寸半软辅助连指手套(SSAM)。该装置利用一个细长的背叶弹簧和欠驱动电缆驱动器来被动地打开和主动关闭手,以一种对手大小变化很强大的方式。这种连指手套的目的是为了提高戴上和脱下的便利性,因为该设备可以同时连接到所有手指上。在仿真研究的基础上开发了一个原型,并通过5名健康受试者验证了所提设计的抓取性能。成功的抓取试验,以及积极的用户反馈,表明SSAM具有舒适和直观的设计,适合长期独立使用,并将使未来的研究成为SCI患者日常使用的可行性。
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引用次数: 2
Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control 任务空间变阻抗控制前馈模型的在线学习
Pub Date : 2019-10-01 DOI: 10.1109/Humanoids43949.2019.9035063
Michael J. Mathew, Saif Sidhik, M. Sridharan, M. Azad, Akinobu Hayashi, J. Wyatt
During the initial trials of a manipulation task, humans tend to keep their arms stiff in order to reduce the effects of any unforeseen disturbances. After a few repetitions, humans perform the task accurately with much lower stiffness. Research in human motor control indicates that this behavior is supported by learning and continuously revising internal models of the manipulation task. These internal models predict future states of the task, anticipate necessary control actions, and adapt impedance quickly to match task requirements. Drawing inspiration from these findings, we propose a framework for online learning of a time-independent forward model of a manipulation task from a small number of examples. The measured inaccuracies in the predictions of this model dynamically update the forward model and modify the impedance parameters of a feedback controller during task execution. Furthermore, our framework includes a hybrid force-motion controller that provides compliance in particular directions while adapting the impedance in other directions. These capabilities are evaluated on continuous contact tasks such as pulling non-linear springs, polishing a board, and stirring porridge.
在操作任务的初始试验中,人类倾向于保持手臂僵硬,以减少任何不可预见的干扰的影响。经过几次重复,人类准确地完成了任务,僵硬度大大降低。对人类运动控制的研究表明,这种行为是通过学习和不断修正操纵任务的内部模型来支持的。这些内部模型预测任务的未来状态,预测必要的控制动作,并快速调整阻抗以匹配任务需求。从这些发现中汲取灵感,我们提出了一个框架,用于从少量示例中在线学习操作任务的时间无关前向模型。在任务执行过程中,该模型预测的测量误差动态地更新了前向模型并修改了反馈控制器的阻抗参数。此外,我们的框架包括一个混合力-运动控制器,在特定方向上提供顺应性,同时在其他方向上适应阻抗。这些能力是在连续接触的任务中评估的,比如拉非线性弹簧,抛光板,搅拌粥。
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引用次数: 6
期刊
2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids)
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